Suhail M. Shah

According to our database, Suhail M. Shah authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive Consensus: A Network Pruning Approach for Decentralized Optimization.

Suhail M. Shah, Albert S. Berahas, Raghu Bollapragada

SIAM J. Optim., 2024

2023

Model Compression for Communication Efficient Federated Learning.

Suhail Mohmad Shah, Vincent K. N. Lau

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Robust Federated Learning Over Noisy Fading Channels.

Suhail M. Shah, Liqun Su, Vincent K. N. Lau

IEEE Internet Things J., 2023

2022

Dynamic Social Learning Under Graph Constraints.

Konstantin E. Avrachenkov, Vivek S. Borkar, Sharayu Moharir, Suhail Mohmad Shah

IEEE Trans. Control. Netw. Syst., 2022

2018

Distributed Stochastic Approximation with Local Projections.

Suhail Mohmad Shah, Vivek S. Borkar

SIAM J. Optim., 2018

Q-learning for Markov decision processes with a satisfiability criterion.

Suhail M. Shah, Vivek S. Borkar

Syst. Control. Lett., 2018

Distributed Algorithms: Tsitsiklis and Beyond.

Vivek S. Borkar, Suhail Mohmad Shah

Proceedings of the 2018 Information Theory and Applications Workshop, 2018